Dan C. Mann
Impact in
- Developmental Biology top 5%
- Animal Vocal Communication and Behavior
- Materials Chemistry top 10%
- Carbon Nanotubes in Composites
- Graphene research and applications
- Thermal properties of materials
- Hydrogen Storage and Materials
- Boron and Carbon Nanomaterials Research
- Diamond and Carbon-based Materials Research
Papers in
-
- Animal Vocal Communication and Behavior 9
-
- Carbon Nanotubes in Composites 4
- Thermal properties of materials 3
- Graphene research and applications 2
- Co-authors
- Hongjie Dai (4 shared papers)Hirohito Ogasawara (1 shared paper)Zhiyong Zhang (1 shared paper)Anton Nikitin (1 shared paper)R. Denecke (1 shared paper)Kyeongjae Cho (1 shared paper)Anders Nilsson (1 shared paper)Matthew A. Panzer (2 shared papers)
- Journals
- IEEE Transactions on Nanotechnology (1 paper)Behavioural Processes (1 paper)Psychological Science (1 paper)Radiology Artificial Intelligence (1 paper)Animal Cognition (1 paper)
- Partner nations
- United StatesAustriaCanada
In The Last Decade
Dan C. Mann
16 papers receiving 470 citations
Peers
Comparison fields: 5 of 66
- Developmental Biology 41
- Materials Chemistry 365
- Structural Biology 3
- Civil and Structural Engineering 42
- Catalysis 13
Countries citing papers authored by Dan C. Mann
This map shows the geographic impact of Dan C. Mann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dan C. Mann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan C. Mann more than expected).
Fields of papers citing papers by Dan C. Mann
This network shows the impact of papers produced by Dan C. Mann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dan C. Mann. The network helps show where Dan C. Mann may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan C. Mann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 219 | |
| 2 | 2008 | 163 | |
| 3 | 1992 | 30 | |
| 4 | 2019 | 16 | |
| 5 | 2021 | 11 | |
| 6 | 2006 | 9 | |
| 7 | 2020 | 9 | |
| 8 | 2024 | 4 | |
| 9 | 2020 | 4 | |
| 10 | 2007 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 1995 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2019 | 0 |
About Dan C. Mann
Dan C. Mann is a scholar working on Developmental Biology, Materials Chemistry, Ecology, Evolution, Behavior and Systematics, Ecology and Signal Processing, having authored 17 papers that have together received 478 indexed citations. Recurring topics across this work include Animal Vocal Communication and Behavior (9 papers), Carbon Nanotubes in Composites (4 papers), Animal Behavior and Reproduction (4 papers), Music and Audio Processing (3 papers), Thermal properties of materials (3 papers), Marine animal studies overview (2 papers), Plant and animal studies (2 papers) and Graphene research and applications (2 papers). The work is most often cited by research in Developmental Biology (41 citations), Materials Chemistry (365 citations), Structural Biology (3 citations), Civil and Structural Engineering (42 citations) and Catalysis (13 citations). Dan C. Mann has collaborated with scholars based in United States, Austria and Canada. Frequent co-authors include Hongjie Dai, Hirohito Ogasawara, Zhiyong Zhang, Anton Nikitin, R. Denecke, Kyeongjae Cho, Anders Nilsson, Matthew A. Panzer, Xuejiao Hu and Eric Pop. Their work appears in journals such as IEEE Transactions on Nanotechnology, Behavioural Processes, Psychological Science, Radiology Artificial Intelligence and Animal Cognition.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.